AI in Media and Entertainment

• Content moderation and brand safety

  Ensure brand safety by monitoring image, video, text and audio media for unwanted content. Automate manual moderation efforts with AI to scale projects 100x more efficiently. We support various taxonomies, including custom GARM implementations. 

• Subtitle generation

  Leverage NLP to provide accurate multilingual subtitles for video content. Reduce time spent on the error prone, manual process of writing subtitles for multiple shows and movies in dozens of languages. Using AI for targeted tagging improves productivity and search results to satisfy audience preferences.

• Scene detection

  Add context to media processing. Use AI to identify the contents of videos frame by frame and identify objects to add appropriate tags. Develop training sets based upon the results of labeling multiple categories of objects and scenes as diverse as types of food, clothing, homes, and more. 

• Shot classification

  Analyze shot changes using Computer Vision to classify the transition within video streams. Use classification to summarize video content, support advanced browsing, and filter “known-item” searches. Optimize advertising placement by serving ads based on their content.

• Metadata tagging

  Use AI-automated image and video tagging to reduce the repetitive and time-consuming task of manually reviewing and labeling data. AI-based  platforms can analyze videos frame by frame and identify objects to add appropriate tags at scale to help viewers find more relevant content faster.

• Content recommendation 

  Use AI to build a recommendation engine that continually learns customer preferences. Detect viewer tastes to suggest what they'd be interested in watching next. AI platforms assist in better serving content that caters to customer  preferences, providing a personalized experience.

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